Research Square (Research Square),
Год журнала:
2023,
Номер
unknown
Опубликована: Сен. 26, 2023
Abstract
Breast
cancer,
the
prevailing
malignant
tumor
among
women,
is
linked
to
progesterone
and
its
receptor
(PR)
in
both
tumorigenesis
treatment
responsiveness.
Despite
thorough
investigation,
precise
molecular
mechanisms
of
breast
cancer
remain
unclear.
The
human
serves
as
an
essential
therapeutic
target
for
treatment,
warranting
rapid
design
small
molecule
therapeutics
that
can
effectively
inhibit
HPR.
By
employing
cutting-edge
computational
techniques
like
screening,
simulation,
free
energy
calculation,
process
identifying
potential
lead
molecules
from
natural
products
has
been
significantly
expedited.
In
this
study,
we
employed
pharmacophore-based
virtual
screening
simulations
identify
product-based
inhibitors
treatment.
High-throughput
Traditional
Chinese
Medicine
(TCM)
zinc
databases
was
performed,
leading
identification
compounds.
analysis
binding
modes
top
two
compounds
each
database
provides
valuable
structural
insights
into
inhibition
HPR
four
hits
exhibited
enhanced
stability
compactness
compared
reference
compound.
conclusion,
our
study
refining
inhibitors.
Abstract
Breast
cancer
is
the
second
leading
cause
of
death
for
women
worldwide.
The
heterogeneity
this
disease
presents
a
big
challenge
in
its
therapeutic
management.
However,
recent
advances
molecular
biology
and
immunology
enable
to
develop
highly
targeted
therapies
many
forms
breast
cancer.
primary
objective
therapy
inhibit
specific
target/molecule
that
supports
tumor
progression.
Ak
strain
transforming,
cyclin-dependent
kinases,
poly
(ADP-ribose)
polymerase,
different
growth
factors
have
emerged
as
potential
targets
subtypes.
Many
drugs
are
currently
undergoing
clinical
trials,
some
already
received
FDA
approval
monotherapy
or
combination
with
other
treatment
yet
achieve
promise
against
triple-negative
(TNBC).
In
aspect,
immune
has
come
up
promising
approach
specifically
TNBC
patients.
Different
immunotherapeutic
modalities
including
immune-checkpoint
blockade,
vaccination,
adoptive
cell
transfer
been
extensively
studied
setting
cancer,
especially
approved
blockers
chemotherapeutic
treat
several
trials
ongoing.
This
review
provides
an
overview
developments
advancements
immunotherapies
treatment.
successes,
challenges,
prospects
were
critically
discussed
portray
their
profound
prospects.
Frontiers in Oncology,
Год журнала:
2024,
Номер
14
Опубликована: Фев. 22, 2024
With
over
2.1
million
new
cases
of
breast
cancer
diagnosed
annually,
the
incidence
and
mortality
rate
this
disease
pose
severe
global
health
issues
for
women.
Identifying
disease’s
influence
is
only
practical
way
to
lessen
it
immediately.
Numerous
research
works
have
developed
automated
methods
using
different
medical
imaging
identify
BC.
Still,
precision
each
strategy
differs
based
on
available
resources,
issue’s
nature,
dataset
being
used.
We
proposed
a
novel
deep
bottleneck
convolutional
neural
network
with
quantum
optimization
algorithm
classification
diagnosis
from
mammogram
images.
Two
architectures
named
three-residual
blocks
four-residual
bottle
been
parallel
single
paths.
Bayesian
Optimization
(BO)
has
employed
initialize
hyperparameter
values
train
selected
dataset.
Deep
features
are
extracted
average
pool
layer
both
models.
After
that,
kernel-based
canonical
correlation
analysis
entropy
technique
fusion.
The
fused
feature
set
further
refined
an
generalized
normal
distribution
optimization.
finally
classified
several
classifiers,
such
as
bi-layered
wide-neural
networks.
experimental
process
was
conducted
publicly
INbreast,
maximum
accuracy
96.5%
obtained.
Moreover,
method,
sensitivity
96.45,
96.5,
F1
score
value
96.64,
MCC
92.97%,
Kappa
respectively.
utilized
infected
regions.
In
addition,
detailed
comparison
few
recent
techniques
showing
framework’s
higher
rate.
Frontiers in Medicine,
Год журнала:
2024,
Номер
11
Опубликована: Март 7, 2024
Breast
cancer,
a
prevalent
cancer
among
women
worldwide,
necessitates
precise
and
prompt
detection
for
successful
treatment.
While
conventional
histopathological
examination
is
the
benchmark,
it
lengthy
process
prone
to
variations
different
observers.
Employing
machine
learning
automate
diagnosis
of
breast
presents
viable
option,
striving
improve
both
precision
speed.
Previous
studies
have
primarily
focused
on
applying
various
deep
models
classification
images.
These
methodologies
leverage
convolutional
neural
networks
(CNNs)
other
advanced
algorithms
differentiate
between
benign
malignant
tumors
from
Current
models,
despite
their
potential,
encounter
obstacles
related
generalizability,
computational
performance,
managing
datasets
with
imbalances.
Additionally,
significant
number
these
do
not
possess
requisite
transparency
interpretability,
which
are
vital
medical
diagnostic
purposes.
To
address
limitations,
our
study
introduces
an
model
based
EfficientNetV2.
This
incorporates
state-of-the-art
techniques
in
image
processing
network
architecture,
aiming
accuracy,
efficiency,
robustness
classification.
We
employed
EfficientNetV2
model,
fine-tuned
specific
task
Our
underwent
rigorous
training
validation
using
BreakHis
dataset,
includes
diverse
Advanced
data
preprocessing,
augmentation
techniques,
cyclical
rate
strategy
were
implemented
enhance
performance.
The
introduced
exhibited
remarkable
efficacy,
attaining
accuracy
99.68%,
balanced
recall
as
indicated
by
F1
score,
considerable
Cohen’s
Kappa
value.
indicators
highlight
model’s
proficiency
correctly
categorizing
images,
surpassing
current
reliability
effectiveness.
research
emphasizes
improved
accessibility,
catering
individuals
disabilities
elderly.
By
enhancing
visual
representation
proposed
approach
aims
make
strides
inclusive
interpretation,
ensuring
equitable
access
information.
Journal of Drug Delivery Science and Technology,
Год журнала:
2024,
Номер
100, С. 106007 - 106007
Опубликована: Авг. 5, 2024
Globally,
cancer
is
regarded
as
a
severe
health
issue.
Among
these
breast
(BC),
the
second
most
common
kind
in
women
after
skin
cancer.
According
to
statistical
data
from
NIH
Cancer
Institute,
expected
number
of
cases
was
around
3
lakh
people,
with
7.1
%
fatality
rate.
The
rise
multidrug
resistance
(MDR)
British
Columbia
issue
it
lowers
effectiveness
existing
treatments.
Traditional
MDR
treatment
approaches
BC
have
drawbacks,
including
toxicity,
high
cost,
early
discharge,
restricted
drug
load
before
target,
and
poor
effectiveness.
Preventing
has
depended
heavily
on
developing
innovative
therapy
delivery
methods
utilizing
nanomedicine
new
diagnosing
treating
BC.
This
review
discusses
its
pathophysiology
relation
tumor
kinetics.
It
focuses
latest
therapeutic
over
traditional
like
Surgery,
Chemotherapy,
Nanomedicine,
Phototherapy,
Immunotherapy,
Gene
therapy.
also
describes
diagnostic
techniques
using
MRI/PET,
Mammography,
Microwave
Sensing,
In-silico
methods,
Molecular
techniques,
AI-machine
learning-based
tools.
discussed
limitations
nanoparticles
article
aims
identify
efficient
ways
diagnose
treat
prevent
recurrence.
Frontiers in Oncology,
Год журнала:
2025,
Номер
14
Опубликована: Янв. 14, 2025
Background
Abnormal
energy
metabolism
is
a
prominent
characteristic
of
cancers.
Increasing
evidence
has
suggested
the
involvement
glucose
reprogramming
in
progression
breast
cancer
(BC).
This
article
aims
to
provide
comprehensive
overview
BC
through
bibliometric
analysis.
Methods
Relevant
literatures
published
from
2004
2024
were
searched
Web
Science
Core
Collection
database,
and
analysis
was
conducted
using
VOSviewer,
CiteSpace,
Bibliometrix.
Results
In
total,
957
publications
reporting
included,
showing
an
increasing
trend
annual
publication
outputs.
China
ranked
first
outputs,
United
States
America
(USA)
had
dominant
place
citation
counts.
The
research
achievements
Thomas
Jefferson
University
USA
at
forefront
widely
cited.
Lisanti,
Michael
P.,
Sotgia,
Federica
most
productive
authors.
Keyword
that
mechanisms
related
therapeutic
strategies
hotspots.
Conclusion
study,
for
time,
elucidated
progresses
hotspots
on
BC,
highlighting
its
potential
role
treating
BC.
Considering
glycolytic
complex
biological
process,
it
imperative
countries
enhance
cooperation
pursuit
effective
antimetabolic
therapies
overcome
challenges
treatment.
Health Science Reports,
Год журнала:
2025,
Номер
8(1)
Опубликована: Янв. 1, 2025
ABSTRACT
Background
and
Aim
The
high
rate
of
tumor
growth
results
in
an
increased
need
for
amino
acids.
As
solute
carriers
(SLC)
transporters
are
capable
transporting
different
acids,
cancer
may
develop
as
a
result
these
transporters'
over‐expression
due
to
their
complex
formation
with
other
biological
molecules.
Therefore,
this
review
investigated
the
role
SLC
progression
cancer.
Methods
We
retrieved
data
from
Google
Scholar,
Web
Science,
PubMed,
Cochrane
Library,
EMBASE
regarding
influence
human
SLCs
on
development
Articles
published
English
before
August
2024
were
included
study.
Results
overexpression
is
strongly
related
cell
proliferation
angiogenesis
number
types
including
thyroid,
pancreatic,
lung,
hepatocellular,
colon
cancers.
They
crucial
stimulation
several
signaling
pathways,
particularly
mTOR
kinase
activity,
which
starts
cascade,
protein
synthesis,
growth,
proliferation,
inhibits
apoptosis
cancerous
cells.
Furthermore,
they
contribute
activation
PI3K/AKT
signaling,
has
impact
invasion,
death
Thus,
become
potential
therapeutic
target
that
plays
drug
resistance,
microenvironment
regulation,
modulation
immune
response.
Conclusion
recognized
progression.
confirm
our
findings,
case‐control
study
required
investigate
acid
development.
Pharmaceuticals,
Год журнала:
2023,
Номер
16(6), С. 849 - 849
Опубликована: Июнь 6, 2023
Cancer
is
one
of
the
diseases
that
causes
a
high
mortality
as
it
involves
unregulated
and
abnormal
cell
growth
proliferation
can
manifest
in
any
body
region.
One
typical
ovarian
cancer
symptoms
damage
to
female
reproductive
system.
The
death
rate
be
reduced
through
early
detection
cancer.
Promising
probes
detect
are
suitable
aptamers.
Aptamers,
i.e.,
so-called
chemical
antibodies,
have
strong
affinity
for
target
biomarker
typically
identified
starting
from
random
library
oligonucleotides.
Compared
with
other
probes,
targeting
using
aptamers
has
demonstrated
superior
effectiveness.
Various
been
selected
tumor
biomarker,
vascular
endothelial
factor
(VEGF).
present
review
highlights
development
particular
VEGF
at
its
earliest
stages.
therapeutic
efficacy
treatment
also
discussed.
Scientific Reports,
Год журнала:
2024,
Номер
14(1)
Опубликована: Март 21, 2024
Abstract
Breast
cancer,
the
prevailing
malignant
tumor
among
women,
is
linked
to
progesterone
and
its
receptor
(PR)
in
both
tumorigenesis
treatment
responsiveness.
Despite
thorough
investigation,
precise
molecular
mechanisms
of
breast
cancer
remain
unclear.
The
human
serves
as
an
essential
therapeutic
target
for
treatment,
warranting
rapid
design
small
molecule
therapeutics
that
can
effectively
inhibit
HPR.
By
employing
cutting-edge
computational
techniques
like
screening,
simulation,
free
energy
calculation,
process
identifying
potential
lead
molecules
from
natural
products
has
been
significantly
expedited.
In
this
study,
we
employed
pharmacophore-based
virtual
screening
simulations
identify
product-based
inhibitors
treatment.
High-throughput
traditional
Chinese
medicine
(TCM)
zinc
databases
was
performed,
leading
identification
compounds.
analysis
binding
modes
top
five
compounds
database
provides
valuable
structural
insights
into
inhibition
HPR
hits
exhibited
enhanced
stability
compactness
compared
reference
compound.
conclusion,
our
study
refining
inhibitors.
